Introduction

Gazelle is a lightweight, efficient, and user-friendly framework designed for rapid development of web applications. It is known for its simplicity and minimalistic approach to web development. Gazelle simplifies the process of building web applications by providing a clean and easy-to-understand framework. Its active development and community support make it a robust choice for developers. In this blog, we will guide you through the basics of Gazelle, including its key features, installation, and practical examples of how to use it effectively.

Overview

Gazelle is built with simplicity and performance in mind, offering a clean syntax and minimal overhead. It supports both synchronous and asynchronous functions, making it versatile for various projects. Common use cases include building small to medium-sized web applications, APIs, and microservices. Gazelle’s lightweight nature makes it ideal for projects where performance and ease of use are crucial. The current version of Gazelle is 0.3.1.

Getting Started

To get started with Gazelle, you can install it via pip:

pip install gazelle

The installation process is straightforward and quick. Here’s a quick example to get you going:

from gazelle.app import App

app = App()
app.get('/', lambda req, res: res.send('Hello, World!'))
app.run()

This simple example sets up a basic web server that responds with “Hello, World!” when the root URL is accessed.

Core Concepts

Gazelle’s core functionality revolves around its simple routing and request handling mechanisms. The API is designed to be intuitive and easy to understand. Key components include App, Request, and Response objects, which are used to build and handle web applications.

Here’s an example of defining a route and handling requests:

from gazelle.app import App
from gazelle.request import Request
from gazelle.response import Response

app = App()

@app.route('/')
def index(req: Request, res: Response):
    res.send('Hello, World!')

app.run()

In this example, we define a route for the root URL and handle the request by sending a simple response.

Practical Examples

Example 1: Creating an API Endpoint

Let’s create an API endpoint that fetches user details based on a user ID:

from gazelle.app import App
from gazelle.request import Request
from gazelle.response import Response

app = App()

@app.route('/api/user/<int:user_id>')
def get_user(req: Request, res: Response, user_id: int):
    # Assume user_id is valid and fetch user details
    user = fetch_user(user_id)
    res.json(user)

app.run()

In this example, we define a route for fetching user details based on a user ID. The function fetch_user(user_id) is assumed to be a valid function that retrieves user data.

Example 2: User Profile

Let’s create an endpoint to display a user’s profile:

from gazelle.app import App
from gazelle.request import Request
from gazelle.response import Response

app = App()

@app.route('/user/profile')
def user_profile(req: Request, res: Response):
    user_id = req.query.get('user_id')
    # Assume user_id is valid and fetch user profile
    profile = fetch_profile(user_id)
    res.html(profile)

app.run()

In this example, we define a route for displaying a user’s profile. The function fetch_profile(user_id) is assumed to be a valid function that retrieves user profile data.

Best Practices

When working with Gazelle, it is recommended to structure your code using functions and decorators to maintain readability. Keep your routes and handlers modular and reusable. Here are some tips and recommendations:

  • Structure your code using functions and decorators for better readability.
  • Keep your routes and handlers modular and reusable.
  • Always validate inputs to prevent potential security issues.
  • Avoid using deprecated features such as @app.get('/path') and prefer @app.route('/path') for route definitions.

Conclusion

Gazelle is a lightweight and efficient framework that simplifies web development. Its clear API and active community make it an excellent choice for developers. To get started, explore more advanced features in the official documentation and join the community for support and collaboration.

For further reading and detailed code snippets, check out the official documentation and example repository:


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About this article. This article was generated by the Best-of-the-Best autonomous AI digest and reviewed by Ruslan Magana Vsevolodovna. Package metadata was last checked on 16 August 2026. See the data leaderboard and the GitHub repository for sources.